Original Post
I have been exploring a radical computational physics hypothesis:
What if matter, gravity, measurement, and even consciousness can be modeled from one primitive: discrete photon reconnection graphs?
The latest result surprised me.
Using only geometry and photon-counting logic, the model represents:
• the electron as a two-turn spinor photon closure
• the proton as a four-photon femtometer gamma closure
• mass as photon-reconnection clock rate
• Newtonian gravity as a tiny residual imbalance of enormous photon-reconnection flux
• classical perception as averaging across many parallel branch-correlated brain states
The striking numerical pieces:
Electron closure:
2 spinor photons, each about 0.255 MeV
total reconnection rate ≈ 1.24 × 10²⁰ photons/s
Proton closure:
4 gamma-scale photons, each about 234.6 MeV
total reconnection rate ≈ 2.27 × 10²³ photons/s
Their rate ratio lands on the proton/electron mass ratio.
Then comparing raw proton photon-reconnection flux to Newtonian proton-proton gravity gives a branch-balancing factor:
≈ 1.08 × 10³⁸
That number then implies one branch-local proton reconnection event every ~15 million years, meaning a human-scale conscious state cannot be a single branch. It must be a distributed branch-bundle process.
The speculative but fascinating picture:
matter = closed photon reconnection
gravity = residual universal reconnection imbalance
measurement = record completion
classical reality = branch averaging
consciousness = distributed spacetime-sector selection across many brain-state branches
This is not presented as established physics. It is a computational theory-building program. The next step is brutal validation: derive more constants, reduce assumptions, and test against gravity, quantum experiments, molecular chemistry, Casimir-scale vacuum effects, and neural timescales.
But the direction is becoming hard to ignore:
Maybe reality is not made of particles in spacetime.
Maybe particles, spacetime, gravity, and observers are all stable patterns in a deeper discrete photon graph.